Best AI visibility and LLM monitoring platforms for LLM Monitoring Platforms: 7-Platform AI Consensus Index

Answer Capsule

Profound is the consensus leader among AI visibility and LLM monitoring platforms for a marketing team that needs multi-platform coverage, prompt tracking, competitive analysis, historical data, and useful reporting. It was named by all seven platforms studied and held the best average listed position (2.0). OtterlyAI, Peec AI, and Semrush are the strongest alternatives for distinct buyer needs: OtterlyAI for low-cost entry and agency workspaces, Peec AI for daily prompt tracking with AI-shopping visibility, and Semrush for teams that want AI-search monitoring inside an existing SEO workflow. Ten entities qualified by being named by at least two platforms. The principal limitation is that this study used one standardized prompt sent once to each included platform, and the underlying evidence is largely platform-reported rather than independently validated.

Research Snapshot

• Topic: AI visibility and LLM monitoring platforms for a marketing team that needs multi-platform coverage, prompt tracking, competitive analysis, historical data, and useful reporting.
• Target buyer: Marketing teams seeking LLM monitoring platforms across AI search, generative-answer, and recommendation platforms, United States.
• Platforms included: Exactly seven platforms were included in this run: openai, anthropic, deepseek, grok, perplexity, kimi, and google. The configured source value of 7 is provenance only and is not a separate count of platforms studied.
• Research date: 2026-09-19 (the authoritative run research date). Platform-reported dates are provenance metadata and do not independently prove freshness.
• Number of unique entities named: 42.
• Number of qualifying entities: 10.
• Eligibility rule: An entity qualified only if it was named by at least two of the seven included platforms during ranking discovery.
• Ranking rule: Order is based on platform mentions, then average listed rank, then best listed rank. The final ranking table is the sole authority for rank, mentions, share, average position, and best position.

The Consensus Ranking

Questions This Section Answers

• Which LLM monitoring platform ranked first across all seven AI platforms, and how many platforms named it?
• Which AI visibility platforms were named by at least two platforms, and what is each one best considered for?
• How many platforms named OtterlyAI, Peec AI, and Semrush compared with Profound?

Profound was the only entity named by all seven platforms, which is why it leads the index despite a mixed-to-good range of fit ratings. OtterlyAI, Peec AI, and Semrush each appeared on five of seven platforms. The remaining six qualifiers were named by two platforms each, so their positions reflect a narrower evidence base rather than a weaker product.

Which Option Is Best for Which Version of the Buyer Need?

Questions This Section Answers

• Which LLM monitoring platform should a buyer choose if they need the broadest multi-platform coverage at the lowest entry price?
• Is Profound or Semrush better for a marketing team that already runs an SEO program?
• Which AI visibility platform is best for an agency managing multiple client brands on a limited budget?

1. Profound

Questions This Section Answers

• Is Profound worth it for a marketing team that needs multi-platform LLM monitoring, and what are its main drawbacks?
• Which answer engines does Profound's Growth plan actually cover compared with its Enterprise plan?
• What should a buyer verify about Profound's historical data, API access, and contract terms before purchasing?

Profound is the consensus leader because it was the only entity named by all seven platforms, and it earned the best average listed position in the index at 2.0. The verdict is nonetheless conditional: platform fit ratings ranged from "strong" to "uncertain," and the sharpest disagreement concerns how much of the product a mid-market team can actually use at the publicly priced Growth tier.

Why it ranked here. Profound appeared on openai, anthropic, deepseek, grok, perplexity, kimi, and google. Its best position was first, recorded by deepseek, google, grok, and perplexity. The ranking reflects breadth of recognition rather than unanimous endorsement.

Best suited for. Marketing teams monitoring AI search visibility and recommendation presence across ChatGPT, Perplexity, and Google AI Overviews; enterprise or multi-brand teams needing customized prompt programs, competitive analysis, reporting, and support; and teams that value daily prompt execution and trend analysis over one-time manual checks.

Main strengths for the use case. Profound runs structured prompts daily and reports prompt-level Visibility Score, Visibility Rank, Share of Voice, trend lines, executions, and citations ^[1]. It analyzes competitor presence, citations, sentiment, and comparative visibility, and describes broader competitive and trend analysis through the Profound Index ^[2]. The Growth tier publicly supports 100 prompts and three answer engines, while Enterprise advertises up to nine answer engines, multiple companies, tailored prompt tracking, dedicated Slack support, SSO/SAML, and SOC 2 compliance ^[3]. One platform reported that Profound runs selected prompts through consumer-facing AI platforms rather than APIs, which it argued addresses AI non-determinism better than API-only tools ^[4].

Main limitations. Growth's public engine coverage is limited to three named answer engines, and the most useful enterprise capabilities are custom-priced, making total cost difficult to compare before sales qualification ^[3]. Public materials do not establish exact historical-retention periods, API/export entitlements, overage pricing, or cancellation terms ^[3]. One platform described the architecture as monitoring-only: Profound shows where a brand is invisible but will not push a content fix to a CMS, build a source backlink, or execute a technical SEO change ^[5].

2. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for a small marketing team starting AI-search visibility monitoring, and what are its main drawbacks?
• Which AI engines are included in OtterlyAI's base plans versus sold as paid add-ons?
• What is the lowest published cost for OtterlyAI, and how much do extra prompts and engines add?

OtterlyAI is the strongest low-cost alternative in the index and the only other entity to receive a first-place vote. It was named by five platforms and averaged 3.4, but its fit ratings split sharply: one platform rated it "strong," four rated it "good," and one rated it "weak."

Why it ranked here. OtterlyAI appeared on anthropic, google, grok, openai, and perplexity. Its best position was first, recorded by anthropic. The "weak" rating came from a platform that judged the product against operational LLM observability rather than AI-search visibility ^[6].

Best suited for. Small and mid-sized marketing teams starting AI-search visibility monitoring; teams tracking brand mentions, competitor presence, rankings, sentiment, and cited domains; and agencies or multi-brand teams needing workspaces, exports, and client reporting.

Main strengths for the use case. Current paid plans include daily monitoring for Google AI Overviews, ChatGPT, Perplexity, and Microsoft Copilot, with Google AI Mode, Gemini, and Claude listed as paid add-ons ^[7]. Prompt allowances are 15 for Lite, 100 for Standard, and 400 for Premium, and each active prompt counts against the allowance ^[8]. The platform supports competitor tracking, competitor name and domain variations, automatic competitor suggestions, and unlimited competitors according to its help documentation ^[9]. It advertises brand reports, prompt and citation exports, CSV reporting, downloadable PDF reports, and a Google Looker Studio connector, with a public API announced in 2026 ^[10]. One platform reported users operational within one hour and praised setup speed ^[11].

Main limitations. The Lite plan's 15-prompt allowance is small for teams covering multiple products, markets, intents, and competitors, and country-specific tracking consumes separate prompt slots ^[8]. Important platform coverage is add-on based rather than included in base plans ^[7]. No historical backfill is available for prompts that were not monitored earlier ^[12]. One platform reported scheduled crawl cycles introducing hours-to-days lag after prompt edits or major model changes, limiting tactical decision-making ^[13].

3. Peec AI

Questions This Section Answers

• Is Peec AI worth it for a marketing team that needs daily prompt tracking and AI-shopping visibility?
• How many AI models does Peec AI include on self-serve plans, and what do additional models cost?
• What should a buyer verify about Peec AI's historical retention and US pricing before purchasing?

Peec AI ranked third on five platform mentions and an average position of 4.4, with a best position of third. It is the strongest option in the index for e-commerce marketers who need product-level visibility inside AI shopping surfaces, but its self-serve model cap is the most consistent limitation reported.

Why it ranked here. Peec AI appeared on anthropic, google, grok, openai, and perplexity. Its best position was third, recorded by grok. Fit ratings were "good" on four platforms, "mixed" on two, and "uncertain" on one.

Best suited for. Marketing and SEO teams monitoring brand visibility across ChatGPT, Google AI Overviews, Google AI Mode, Microsoft Copilot, Perplexity, and Gemini; teams needing daily prompt tracking, competitor benchmarking, citation/source analysis, historical visibility trends, and shareable reporting; and e-commerce marketers needing AI-shopping product visibility, SKU-level tracking, product position, win rate, cited price, and competing-product analysis.

Main strengths for the use case. The brand pricing page lists ChatGPT, Google AI Overviews, Google AI Mode, Microsoft Copilot, Perplexity, and Gemini as supported coverage, with self-serve tiers allowing selection of three models and Enterprise providing broader selection and up to 13 tracked models according to official pricing material ^[14]. Starter, Pro, and Advanced include 50, 150, and 350 prompts respectively with daily tracking ^[14]. Peec reports visibility, position, sentiment, and share of voice against competitors, plus competitor suggestions and source/citation gap analysis ^[15]. Its AI Shopping capability tracks product visibility, position, share of voice, win rate, cited price versus catalog price, and co-featured competing products ^[16]. All plans include unlimited user seats, and Advanced adds Looker Studio integration ^[17].

Main limitations. Self-serve tiers limit model selection to three chosen models, and Enterprise is required for the broadest model coverage, API access, SSO, custom prompts, and unlimited projects ^[14]. The exact historical-data retention period is unclear ^[14]. Peec states that AI models only see HTML content and may not access paywalled or JavaScript-dependent content, creating monitoring blind spots unrelated to content quality ^[15].

4. Semrush

Questions This Section Answers

• Is Semrush worth it for a marketing team that wants AI-search monitoring inside an existing SEO workflow?
• How many custom prompts does Semrush's AI Visibility Toolkit include, and what do extra domains and users cost?
• Is Semrush or Profound better for a team that needs both traditional SEO and AI visibility reporting?

Semrush ranked fourth on five platform mentions and an average position of 4.8, but it recorded a best position of first — the widest spread in the index. It is the clearest choice for teams that want AI-search monitoring folded into an existing SEO program, and the least suitable for buyers who need production LLM observability.

Why it ranked here. Semrush appeared on deepseek, google, grok, openai, and perplexity. Its best position was first, recorded by openai. Fit ratings were "good" on three platforms, "mixed" on three, and "weak" on one.

Best suited for. Marketing and SEO teams measuring brand mentions, citations, visibility, sentiment, and competitor presence in AI-generated search answers; teams already using Semrush SEO tools that want AI-search monitoring in the same reporting workflow; and larger organizations needing higher-scale prompt tracking, support, custom integrations, or multi-market management through Enterprise AIO.

Main strengths for the use case. The AI Visibility Toolkit reports coverage for ChatGPT, Gemini, Google AI Overviews, Google AI Mode, and Perplexity ^[18]. The Base plan includes tracking for 25 custom prompts with daily AI rankings ^[18]. The toolkit supports competitor research, visibility benchmarking, AI share-of-voice comparisons, mention audits, sentiment analysis, and identification of prompts where competitors appear but the buyer does not ^[19]. Visibility Overview provides AI visibility trends and historical analysis, with daily prompt-tracking updates, weekly brand-performance updates, and monthly prompt-data updates ^[20]. One platform reported Semrush monitors over 100 million relevant LLM prompts globally, with a 90M+ US database and a 29M+ ChatGPT database ^[21].

Main limitations. The Base plan's 25 custom-prompt allowance may be restrictive for teams monitoring many products, markets, languages, or customer segments ^[18]. Public documentation does not confirm coverage for every generative-answer or recommendation platform ^[18]. Visibility metrics are directional and affected by changing, personalized AI responses ^[20]. The reviewed product documentation does not establish production LLM observability capabilities such as traces, latency, token costs, prompt-level errors, or model-evaluation workflows ^[22].

5. Scrunch AI

Questions This Section Answers

• Is Scrunch AI worth it for a marketing team that needs competitor benchmarking on identical prompt sets?
• How many AI platforms does Scrunch AI's Core plan cover compared with Enterprise, and what does Core cost?
• What should a buyer verify about Scrunch AI's data retention and post-acquisition roadmap before purchasing?

Scrunch AI ranked fifth with the highest average position of any two-mention entity at 4.0, and a best position of third. It qualified on two platform mentions but received usable fit assessments from six of seven platforms, which is why its evidence base is deeper than its mention count suggests.

Why it ranked here. Scrunch AI was named by grok and openai. Its best position was third, recorded by openai. Fit ratings were "good" on four platforms, "mixed" on one, and "uncertain" on one.

Best suited for. Marketing and SEO/GEO teams monitoring brand presence, citations, sentiment, ranking, and share of voice across multiple AI answer platforms; teams that need competitor comparison using the same prompt sets and filters for platform, geography, persona, funnel stage, and time period; and organizations willing to treat AI-search volume metrics as directional estimates rather than audited platform traffic.

Main strengths for the use case. Core lists four supported platforms — ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot — while Enterprise lists nine: ChatGPT, Claude, Perplexity, Gemini, Meta AI, Google AI Mode, Google AI Overviews, Copilot, and Grok ^[23]. Scrunch treats prompts as the primary monitoring unit and reports brand presence, competitive presence, position, sentiment, and citations in AI answers, with new prompts collected daily for the first 14 days and then refreshed on a default 72-hour cadence ^[24]. Competitive benchmarking supports share of voice, mentions, citations, and filters for competitors, prompts, personas, platforms, geography, and time period, with changes applied to current and historical data ^[25]. Enterprise includes API access and integrations, and documentation identifies support for Google Analytics 4 and Adobe Analytics for AI-referral analysis ^[26]. One platform reported GA4 AI-referral reporting as the most-praised feature and a real time-saver for agency and client reporting ^[27].

Main limitations. Core is limited to 125 unique prompts, one brand workspace, five users, and four listed platforms ^[23]. Enterprise pricing, prompt allowances, retention, and commercial terms are not publicly disclosed ^[23].

6. SE Ranking

Questions This Section Answers

• Is SE Ranking worth it for a marketing team that already uses its SEO suite and wants AI-search monitoring added?
• How many AI platforms does SE Ranking's AI Results Tracker cover, and which major engines are missing?
• What is the true total cost of SE Ranking's AI Search Add-on once the base plan and prompt packs are included?

SE Ranking ranked sixth on two platform mentions and an average position of 5.0, with a best position of second — the highest best-position of any two-mention entity. It is the most economical way to add AI-search monitoring to an existing SEO workflow, and the least complete on engine coverage.

Why it ranked here. SE Ranking was named by anthropic and grok. Its best position was second, recorded by anthropic. Fit ratings were "good" on two platforms, "mixed" on four, and "weak" on one.

Best suited for. Marketing teams already using SE Ranking for SEO and wanting integrated AI-search monitoring; teams tracking a defined set of prompts, brand mentions, cited links, competitors, and historical visibility trends; and organizations needing exportable competitor snapshots and source-level analysis rather than a standalone LLM-observability system.

Main strengths for the use case. AI Results Tracker supports Google AI Overviews, Google AI Mode, ChatGPT, Gemini, and Perplexity ^[28]. Users add prompts to projects, assign them to groups, select AI platforms, and begin collecting prompt-level visibility data, where one check represents one prompt tracked on one AI platform ^[29]. The tracker reports brand mentions, links, source positions, Top 3 Presence, Source Presence, and mention/link trends, with cached AI answers reviewable for individual dates ^[30]. The Competitors tab shows brands and domains appearing in answers for tracked prompts, daily changes, competitor mentions, source links, cached answers, and exportable daily snapshots ^[31]. Project-level AI history begins when prompts or projects are added, while research-tool historical AI data can extend back to February 2020 ^[32]. One platform reported the AI Toolkit is particularly strong on Google AI Overviews monitoring ^[33].

Main limitations. Monitoring is metered by prompt and platform, so multi-platform portfolios consume checks quickly ^[29]. The documented platform list may not cover all AI assistants, shopping engines, social recommendation systems, or industry-specific answer platforms ^[28]. Project history generally starts when tracking begins ^[32].

7. Promptwatch

Questions This Section Answers

• Is Promptwatch worth it for a marketing team that needs broad stated model coverage and crawler-log analysis?
• How many AI models can a Promptwatch project track simultaneously, and what does each plan cost?
• What should a buyer verify about Promptwatch's Growth plan availability and historical retention before purchasing?

Promptwatch ranked seventh on two platform mentions and an average position of 5.0, with a best position of third. It offers the broadest stated model catalog among the two-mention entities, but its plan structure is the most internally inconsistent in the index.

Why it ranked here. Promptwatch was named by openai and perplexity. Its best position was third, recorded by perplexity. Fit ratings were "good" on four platforms, "strong" on one, and "uncertain" on two.

Best suited for. Marketing teams monitoring brand visibility across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Claude, Gemini, Meta Llama, and other supported AI platforms; teams comparing brand mentions, visibility, citations, sentiment, rankings, and competitors across controlled customer prompts; and organizations needing dashboard reporting, PDF exports, API access, MCP access, crawler-log data, and AI-source or citation analysis.

Main strengths for the use case. Promptwatch states that it monitors ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Claude, Gemini, Meta Llama, DeepSeek, and other platforms ^[34]. Current public limits are 50 prompts and 6,000 responses for Essential, 150 prompts and 18,000 responses for Professional, and 350 prompts and 42,000 responses for Business ^[34]. The platform tracks controlled prompts and reports mentions, citations, sentiment, rankings, competitors, and response-level data ^[35]. The current pricing page lists API and MCP access, and Promptwatch documents pulling visibility scores, prompts, responses, citations, and crawler data into warehouses, internal dashboards, client reporting, or alerting ^[36]. One platform reported crawler visits are verified against each AI provider's published IP ranges, filtering out bots pretending to be ChatGPT, Claude, or Perplexity crawlers ^[37].

Main limitations. The recommended Growth plan is not shown on the current public pricing page; current public plans are Essential, Professional, and Business ^[34]. Only four models are shown as tracked per project on the current public plan table, despite a larger list of supported platforms ^[34]. Prompt, response, project, and agent-credit limits may constrain broad portfolios or high-frequency monitoring ^[34].

8. Wellows

Questions This Section Answers

• Is Wellows worth it for a marketing team that needs citation-share reporting with unlimited projects and seats?
• Which AI engines does Wellows monitor, and which major assistants are excluded?
• What should a buyer verify about Wellows' conflicting plan pages and per-domain pricing before purchasing?

Wellows ranked eighth on two platform mentions and an average position of 5.5, with a best position of fourth. It is the only entity in the index whose official pages contradict each other on plan names, pricing structure, and engine entitlements.

Why it ranked here. Wellows was named by anthropic and kimi. Its best position was fourth, recorded by kimi. Fit ratings were "good" on four platforms, "strong" on one, and "uncertain" on two.

Best suited for. Marketing, SEO, brand, and growth teams tracking AI-search visibility and citation share; teams needing prompt-level monitoring, competitor comparisons, historical trends, and exportable reporting; and agencies or multi-brand teams that value unlimited projects, domains, team seats, and white-label reporting.

Main strengths for the use case. Wellows states that its current platform can monitor ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, and Gemini, with all five available across plans ^[38]. Prompt Tracking runs the buyer's exact questions on configured engines and organizes results by topic and intent, with credits consumed per prompt, platform, and day ^[38]. The AI Visibility Score is described as competitor-relative and can be broken down by platform, competitor, and prompt, with plans allowing tracking up to ten competitors ^[39]. Monitoring is daily, snapshots are captured every 24 hours, and historical comparisons can show prompt-level citation changes between dates ^[40]. The platform describes export-ready reporting with filters for platform, region, competitor, topic, intent, mention type, and sentiment, and promotes white-label reporting for agencies ^[40].

Main limitations. Coverage excludes several relevant assistants, including Claude and Microsoft Copilot ^[38]. Daily snapshots are not real-time ^[38]. Prompt-volume data is not provided, and one platform identified this as a significant strategic limitation for serious AEO practitioners ^[41]. Content Optimization and Content Scoring are beta ^[38]. The cited evidence is primarily Wellows-owned material, with independent validation of metric accuracy, stability, and customer outcomes limited ^[38]. One platform reported Wellows has an unclaimed G2 profile with zero verified reviews and no Capterra or TrustRadius presence ^[42]. .

9. AthenaHQ

Questions This Section Answers

• Is AthenaHQ worth it for a marketing team that needs monitoring plus content recommendations and an action workflow?
• How many AI models does AthenaHQ's Starter plan cover, and what do extra credits cost?
• What should a buyer verify about AthenaHQ's credit consumption and historical data depth before purchasing?

AthenaHQ ranked ninth on two platform mentions and an average position of 6.0, with a best position of fourth. It offers the widest reported model coverage of any entity in the index at its entry tier, but its credit-based pricing is the most difficult to forecast.

Why it ranked here. AthenaHQ was named by google and grok. Its best position was fourth, recorded by grok. Fit ratings were "good" on three platforms, "strong" on one, and "uncertain" on two.

Best suited for. Marketing, SEO, brand, and growth teams measuring brand visibility in AI-generated answers; teams comparing share of voice, citations, competitors, and prompt-level performance across multiple AI-search platforms; and organizations wanting monitoring combined with content recommendations and an action workflow.

Main strengths for the use case. The Starter plan reports visibility coverage across 11 models, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI, and Mistral, with all plans including ChatGPT, Perplexity, Gemini, Google AI Overviews, and Copilot ^[43]. AthenaHQ reports prompt and response analysis, Prompt Volume tracking, daily prompt monitoring, brand monitoring, and prompt-level visibility measurement ^[44]. The platform reports sources and competitor insights, competitive intelligence, competitor monitoring, share-of-voice comparison, citation analysis, sentiment analysis, and content-gap identification ^[45]. One platform reported AthenaHQ includes all eight LLMs from day one, unlike competitors that lock certain LLMs behind higher tiers or paid add-ons ^[46]. Another reported SOC Two certification, EU and UK data protection compliance, and NIST Cybersecurity Framework Tier Three implementation ^[47].

Main limitations. Historical retention and export capabilities are not clearly documented publicly ^[43]. Credit-based usage may make ongoing costs dependent on prompt volume and monitoring scope ^[43]. API access and additional credits cost extra, and add-on prices are undisclosed ^[43]. One platform reported limited historical tracking data relative to traditional SEO tools, with self-serve plans lacking unlimited historical data and only the enterprise tier including it ^[48]. Another reported single-country coverage on the self-serve plan, requiring an enterprise contract for multi-region monitoring ^[49].

10. Orchly

Questions This Section Answers

• Is Orchly worth it for a marketing team that needs monitoring bundled with SEO, AI-traffic analytics, and white-label reporting?
• How many AI prompts does Orchly Pro include, and which platforms require paid add-ons?
• What should a buyer verify about Orchly's historical data and add-on pricing before purchasing?

Orchly ranked tenth on two platform mentions and an average position of 7.0, with a best position of fifth. It is the lowest-priced paid entry in the index and the only entity whose official pricing page presents multiple conflicting figures for the same plan.

Why it ranked here. Orchly was named by anthropic and google. Its best position was fifth, recorded by google. Fit ratings were "good" on five platforms and "uncertain" on two.

Best suited for. Marketing teams monitoring brand presence and recommendations across ChatGPT, Google AI Overview, Perplexity, Gemini, Claude, Grok, and related AI-search surfaces; teams needing prompt-level tracking, competitor benchmarking, citation analysis, sentiment, historical visibility trends, and client or executive reporting; and brands or agencies that also want SEO, AI-traffic analytics, content recommendations, and white-label reporting in the same product.

Main strengths for the use case. Orchly states that AI Search Monitoring covers ChatGPT, Google AI Overview, Perplexity, Gemini, Claude, and Grok, with ChatGPT, Google AI Overview, and Perplexity included in base plans and Gemini, AI Mode, Grok, and Claude available as paid add-ons ^[50]. The platform runs tracked prompts against covered engines and provides prompt-level visibility results, with the publicly listed Essential and Pro plans each showing 25 AI prompts refreshed daily ^[50]. Orchly supports named competitor tracking, AI-visibility leaderboards, per-engine comparisons, share-of-voice analysis, competitor heatmaps, and competitor inclusion in reports ^[51]. Reporting can combine AI search visibility, platform mentions, citations, sentiment, organic rankings, and social data into shareable reports, live links, or PDF decks, with white-label reporting advertised ^[52]. Orchly states that it tracks product appearances in AI recommendations and shopping answers, including product rank, merchants, and prompts that trigger shopping results ^[50].

Main limitations. The publicly listed Pro plan appears limited to 25 prompts and one website ^[50]. Several platforms relevant to the buyer may require paid add-ons rather than being included in the base plan ^[50]. Historical retention duration, prompt-volume expansion, location coverage, and sampling controls are not clearly published ^[50].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does the cross-platform study reveal about how AI assistants recommend LLM monitoring platforms?
• Which LLM monitoring platforms are named most consistently across ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and Kimi?

Three structural patterns emerge from the ten qualifying entities.

First, the market splits into two product categories that the platforms did not consistently separate. Profound, OtterlyAI, Peec AI, Semrush, Scrunch AI, SE Ranking, Promptwatch, Wellows, AthenaHQ, and Orchly are all AI-search visibility and brand-monitoring tools. Several platforms evaluated them against operational LLM observability criteria — tracing, spans, latency, token cost, hallucination detection — and rated fit down accordingly. Kimi rated OtterlyAI "weak" ^[53], Semrush "weak" ^[54], and SE Ranking "weak" ^[55] on exactly this basis, while rating the same products "uncertain" for Profound ^[56], Peec AI ^[57], Scrunch AI ^[58], Promptwatch ^[59], Wellows ^[60], AthenaHQ ^[61], and Orchly ^[62]. Buyers should decide which category they are actually shopping for before using this index.

Second, engine coverage is gated almost everywhere. Profound's Growth tier covers three engines with broader coverage on Enterprise ^[63].

Where the AI Platforms Agreed

Questions This Section Answers

• On which LLM monitoring platform capabilities did all seven AI platforms agree?
• Which AI visibility platform features are consistently described across platforms regardless of ranking?

Agreement was strongest on capability categories rather than on specific vendors.

• Prompt-level tracking is the core unit of measurement. Every qualifying entity was described as tracking prompts, queries, or search prompts as the primary monitoring object, with visibility, mentions, citations, sentiment, and position as the reported metrics.
• Competitive analysis is table stakes. Profound, OtterlyAI, Peec AI, Semrush, Scrunch AI, SE Ranking, Promptwatch, Wellows, AthenaHQ, and Orchly were all described as supporting competitor comparison, share of voice, or competitive benchmarking.
• These are marketing tools, not engineering tools. Multiple platforms independently noted that the reviewed products measure external brand visibility in AI answers rather than production LLM application behavior such as latency, token cost, traces, or evaluations ^[64]. .

Where the AI Platforms Disagreed

Questions This Section Answers

• Where did the AI platforms disagree about LLM monitoring platform pricing and engine coverage?
• Which LLM monitoring platforms received conflicting fit ratings across platforms, and why?

Disagreement clustered in four areas.

Category definition. Kimi consistently evaluated the ranked entities against operational LLM observability criteria and rated several "weak" or "uncertain" ^[67]. Other platforms evaluated the same entities against AI-search visibility criteria and rated them "good" or "strong." This is a definitional split, not a factual conflict.

Engine coverage counts. Profound's Enterprise engine count was reported as nine, ten, and eleven across platforms ^[70]. Peec AI's Enterprise model count was reported as 11 and 13 ^[73]. OtterlyAI's country coverage was reported as 50+ and 65+ ^[74]. Orchly's engine coverage was described as six platforms by one source and narrower than 17-engine competitors by another ^[75].

Pricing and plan structure. Profound's Enterprise floor was reported as custom, $2,000–$5,000+, and $1,000–$2,000+ depending on source ^[70].

How Buyers Should Choose

Questions This Section Answers

• How should a marketing team choose between Profound, OtterlyAI, Peec AI, and Semrush for LLM monitoring?
• What should a buyer check before choosing an AI visibility platform for LLM monitoring?

Work through five decisions in order.

1. Confirm you are buying the right category. If your need is monitoring how AI answer systems discuss, cite, mention, and recommend your company and competitors, every entity in this index is relevant. If your need is tracing, latency, token cost, or hallucination detection inside your own LLM application, none of them are, and you should look at developer-oriented observability platforms instead.

2. Set your engine coverage requirement before you compare prices. Count the specific AI surfaces your audience uses, then check which plan includes them.

Methodology

This index was built from a single standardized prompt sent once to each of seven included platforms on 2026-09-19. The prompt asked which LLM monitoring platforms the platform would recommend for a marketing team needing multi-platform coverage, prompt tracking, competitive analysis, historical data, and useful reporting.

Platforms included: openai, anthropic, deepseek, grok, perplexity, kimi, and google. Exactly seven platforms were included in this run. The configured source value of 7 is provenance only and is not a separate count of platforms studied.

Entities qualified for the final ranking only if named by at least two platforms during ranking discovery. Forty-two unique entities were named; ten qualified. The final ranking table is the sole authority for rank, platform mentions, platform share, average listed position, and best position. Platform mentions count only ranking-discovery mentions and do not substitute for the number of platforms that later completed a fit assessment.

Each qualifying entity was then researched through its own evidence bundle, which included platform-reported fit assessments, use-case findings, pricing and terms, strengths, limitations, disagreements, and verification questions. Citation IDs are namespaced to the entity and platform that produced them.

Methodology Limitations

• This study used one standardized prompt sent once to each included platform. AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved.
• Platform-reported research dates differ from the authoritative run date of 2026-09-19. Deepseek's responses carried dates of 2026-06-15, 2026-01-19, 2026-01-15, and 2026-02-14 across different entity bundles. These are provenance metadata and do not independently prove freshness.
• Platform recommendations are market intelligence, not independent customer reviews or proof of product quality.
• Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts.
• The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
• Company-owned sources materially outnumber independent sources for several entities, particularly Wellows and Orchly. Company claims are not described as independently verified.
• The deterministic identity audit flagged conflicting official domains and unresolved identity for Profound, Peec AI, Scrunch AI, and AthenaHQ. Buyers should verify the contracting entity and domain before purchase.
• Six of seven included platforms returned a usable fit assessment for Scrunch AI and AthenaHQ. Fit findings for those entities are not unanimous.
• Conflicting product names, pricing, and capabilities were not resolved by guessing.

Final Verdict

Profound is the consensus leader for AI visibility and LLM monitoring platforms in this index, named by all seven platforms studied and holding the best average listed position at 2.0. It is the strongest fit for marketing teams that need daily prompt-level monitoring, competitive analysis, citation intelligence, and reporting across major answer engines, provided they can absorb the cost of the Growth tier or negotiate Enterprise terms.

OtterlyAI is the best low-cost entry point, with a publicly reported $29/month Lite plan and unlimited team members. Peec AI is the best fit for e-commerce marketers who need AI-shopping and SKU-level product visibility. Semrush is the best fit for teams that want AI-search monitoring inside an existing SEO reporting workflow. Scrunch AI offers the strongest competitor benchmarking on identical prompt sets with GA4 referral analysis. SE Ranking is the most economical add-on for Google-centric teams already paying for an SEO suite. Promptwatch offers the broadest stated model catalog with crawler-log analysis. Wellows, AthenaHQ, and Orchly round out the index with distinct tradeoffs in pricing transparency, credit economics, and bundled execution features.

No entity in this index should be purchased without verifying engine coverage, historical retention, export and API access, and contract terms in writing.